Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks 事件

Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks arXiv:2606.01747v1 Announce Type: new Abstract: Through digital humanities research and scale-up historical data analysis, a significant amount of traditional historical text is converted into structured knowledge graphs. This paper provides a high-level architecture that combines bidirectional encoder representations of transformers (BERT) and graph neural networks (GNN) to extract the entities and relationship